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electricsheepeurope/europe-owid-average-years-of-schooling-males-vs-females

Average Years Of Schooling Males Vs Females | Europe (Our World in Data) 🇪🇺 1,380 observations · 42 Europe countries · 1990–2023 · Repackaged by Electric Sheep Europe TL;DR This dataset contains 1,380 observations of Average Years Of Schooling Males Vs Females data across 42 Europe countries, spanning 1990–2023. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Average Years Of Schooling Males… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepeurope/europe-owid-average-years-of-schooling-males-vs-females.

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Dataset Card

Average Years Of Schooling Males Vs Females | Europe (Our World in Data)

🇪🇺 1,380 observations · 42 Europe countries · 1990–2023 · Repackaged by [Electric Sheep Europe](https://huggingface.co/electricsheepeurope)

rows countries years license

TL;DR

This dataset contains 1,380 observations of Average Years Of Schooling Males Vs Females data across 42 Europe countries, spanning 1990–2023.

About the source

  • —Source: Our World in Data
  • —Publisher: Our World in Data
  • —License: cc-by-4.0
  • —Topic: Average Years Of Schooling Males Vs Females

Geographic coverage

42 Europe countries · top rows shown below, sorted by row count:

CountryRowsFirst yearLast year
ALB3419902023
AUT3419902023
DEU3419902023
BEL3419902023
BGR3419902023
CHE3419902023
CZE3419902023
EST3419902023
ESP3419902023
DNK3419902023
MDA3419902023
MLT3419902023
NOR3419902023
FIN3419902023
FRA3419902023
...27 more countries

Schema

ColumnTypeDescriptionExample
country_namestring—Albania
country_iso3string—ALB
yearint64—1990
Menfloat64—7.9172583
Womenfloat64—6.696722
Populationfloat64—3277965.0
World region according to OWIDstring—Europe

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepeurope/europe-owid-average-years-of-schooling-males-vs-females")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

python
germany = df[df["country_iso3"] == "DEU"]

Time-series for a single indicator

python
sample = df.sort_values("year")
sample.plot(x="year", y="Men")

Citation

bibtex
@misc{europe_owid_average_years_of_schooling_males_vs_females_2023,
  title        = {Average Years Of Schooling Males Vs Females | Europe (Our World in Data)},
  author       = {Our World in Data},
  year         = {2023},
  url          = {https://ourworldindata.org/grapher/average-years-of-schooling-males-vs-females},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Europe},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepeurope/europe-owid-average-years-of-schooling-males-vs-females}}
}

License

Released under cc-by-4.0.

Original data © Our World in Data. When using this dataset, please cite both the original source above and the Electric Sheep Europe repackaging.

About Electric Sheep

Electric Sheep Europe is part of the Electric Sheep mission: a unified, ML-ready data layer for Europe on HuggingFace. We pull data from authoritative open sources, normalize the schemas, package as Parquet, and publish with consistent dataset cards so researchers and developers can use load_dataset() to start working in seconds.

Browse the full collection: huggingface.co/electricsheepeurope


Provenance: ingested 2026-06-02 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/average-years-of-schooling-males-vs-females